Prediction of gene functions by use of molecular evolutionary approach

利用分子进化方法预测基因功能

• 批准号: 07504009
• 负责人: GOJOBORI Takashi
• 金额: $ 13.12万
• 依托单位: National Institute of Genetics
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Scientific Research (A)
• 财政年份: 1995
• 资助国家: 日本
• 起止时间: 1995 至 1997
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-07504009/
• 关键词: molecular evolution; prediction of gene function; functional domain; Molecular Phylogenetic Tree; serine protease; MHC (major histocompatibility complex); nucleotide sequence; sequencing; セリンプロテアーゼ

The main purpose of the present research project is to extract functional domains from the nucleotide sequences of homologous gene groups by use of molecular evolutionary approach. To attain this purpose, we first developed the the new method for constructing phylogenetic trees based upon the minimum description length principle. By using this new method, we identified several functional domains of serine protease genes as an example. Because this method was so successful, weextended our approach to all homologous gene groups. Then, we constructed the 'so-called' sequence motif database, where sequence motif represents characteristics of the sequence specific to a particular function. Moreover, we produced nucleotide sequences of genes whose data availability is sos limited by conducting the PCR experiments. In order to establish the sequence techniques in our laboratory, we practiced the PCR experiment by using fish mitochondrial DNAs. These results obtained in this research project is significant for identifying and predicting the gene functions from the nucleotide sepuence data.

本研究项目的主要目的是通过使用分子进化方法从同源基因组的核苷酸序列中提取功能结构域。为了实现这一目的，我们首先根据最小描述长度原理开发了构造系统发育树的新方法。通过使用这种新方法，我们将丝氨酸蛋白酶基因的几个功能域视为一个例子。由于这种方法是如此成功，因此我们将我们的方法推迟到所有同源基因组。然后，我们构建了“所谓的”序列基序数据库，其中序列基序代表特定函数的序列的特征。此外，我们产生了基因的核苷酸序列，其数据可用性通过进行PCR实验而受到限制。为了在我们的实验室中建立序列技术，我们通过使用FISH线粒体DNA进行了PCR实验。在该研究项目中获得的这些结果对于鉴定和预测核苷酸链球菌数据的基因功能非常重要。

项目成果

Tanaka, H.: "Inference of molecular phylogenetic tree based on minimum model-based complexity method." Proceedings of Fifth internationa1 conference on intelligent systems for molecular biology.319-328 (1997)

Tanaka, H.：“基于最小模型复杂性方法的分子系统发育树推断。”

Gojobori, T.: "Sequence divergence estimation.In:Molecular Biology and Biotechnology.A Comprehensive Desk Reference.(Ed.,R.A.Meyers)" VCH Publishers,Inc.863-866 (1995)

Gojobori, T.：“序列分歧估计。见：分子生物学和生物技术。综合案头参考。（Ed.，R.A.Meyers）”VCH Publishers,Inc.863-866 (1995)

山口 由美: "ウイルスの分子進化" ウイルス. 第46巻. 1-6 (1996)

山口由美：“病毒的分子进化”，第 46 卷，1-6 (1996)。

Sato, S.et al.: ""Ascidian tyrosinase gene : Its unique structure and expression in the developing brain."" Developmental Dynamics. 208. 363-374 (1997)

Sato, S.et al.：“海鞘酪氨酸酶基因：其独特的结构和在发育中的大脑中的表达。”发育动力学。

Endo,T.: "Large-scale search for genes on which positive selection may operate." Mol.Biol.Evol.13・5. 685-690 (1996)

Endo, T.：“大规模搜索可进行正选择的基因。”Mol.Biol.Evol.13・5（1996）。